Gregory Cooper, MD, PhD

Evaluation of eye tracking for a decision support application

Visweswaran S, King AJ, Tajgardoon M, Calzoni L, Clermont G, Hochheiser H, Cooper GF. JAMIA Open. Evaluation of eye tracking for a decision support application. 2021 Aug 2;4(3). PMID: 34350394 PMCID: PMC8327376.

A simple electronic medical record system designed for research

King AJ, Calzoni L, Tajgardoon M, Cooper GF, Clermont G, Hochheiser H, Visweswaran S. A simple electronic medical record system designed for research. JAMIA Open. 2021 Jul 31;4(3). PMID: 34345801 PMCID: PMC8325484

Bayesian network models with decision tree analysis for management of childhood malaria in Malawi.

Taneja SB, Douglas GP, Cooper GF, Michaels MG, Druzdzel MJ, Visweswaran S. Bayesian network models with decision tree analysis for management of childhood malaria in Malawi. BMC Medical Informatics and Decision Making, 21, 158 (2021). Available at: https://doi.org/10.1186/s12911-021-01514-w

Learning adjustment sets from observational and limited experimental data

Triantafyllou S, Cooper GF. Learning adjustment sets from observational and limited experimental data. Proceedings of the Conference of the Association for the Advancement of Artificial (2021).

Causal and interventional Markov boundaries

Triantafyllou S, Jabbari F, Cooper GF. Causal and interventional Markov boundaries. Proceedings of the Conference on Uncertainty in Artificial Intelligence (2021).

Lung Cancer Survival Prediction Using Instance-Specific Bayesian Networks

Fattaneh Jabbari, Lisa C. Villaruz, Mike Davis, Gregory F. Cooper.  Lung Cancer Survival Prediction Using Instance-Specific Bayesian Networks. In: Michalowski M., Moskovitch R. (eds) Artificial Intelligence in Medicine. AIME 2020. Lecture Notes in Computer Science, vol 12299. Springer, Cham. https://doi.org/10.1007/978-3-030-59137-3_14.

Explicit representation of protein activity states significantly improves causal discovery of protein phosphorylation networks

Liu J, Ma X, Cooper G, Lu X. Explicit representation of protein activity states significantly improves causal discovery of protein phosphorylation networks. BMC Bioinformatics. (2020) Sep 17;21(Suppl 13):379. doi: 10.1186/s12859-020-03676-2. PMID: 32938361 PMCID: PMC7496209

On the Completeness of Causal Discovery in the Presence of Latent Confounding with Tiered Background Knowledge

Andrews B, Spirtes P, Cooper GF.  On the Completeness of Causal Discovery in the Presence of Latent Confounding with Tiered Background Knowledge.  Proceedings of Machine Learning Research JMLR:108.

Leveraging eye tracking to prioritize relevant medical record data: Comparative Machine Learning Study

King AJ, Cooper GF, Clermont G, Hochheiser H, Hauskrecht M, Sittig DF, Visweswaran S. Leveraging Eye Tracking to Prioritize Relevant Medical Record Data: Comparative Machine Learning Study J Med Internet Res 2020;22(4):e15876 

Learning Latent Causal Structures with a Redundant Input Neural Network

Young JD, Andrews B, Cooper GF, Lu X. Learning Latent Causal Structures with a Redundant Input Neural Network. arXiv:2003.13135v1 29 Mar 2020.

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